Analytics Engineer

Summary

The Analytics Engineer is responsible for modeling data to provide clean, accurate datasets for use across the organization. They understand how data influences and empowers business processes, products, and services. They enable their partners such as data scientists, data analysts, engineers, and others by building and maintaining high-quality, reliable data marts.

Responsibilities

✔ Designs, builds, and deploys various sophisticated data models that support multiple use cases across different products or domains. 45%%

✔ Solves data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. 20%%

✔ Optimizes pipelines, dashboards, frameworks, and systems to facilitate easier development of data products. 15%%

✔ Builds foundational knowledge of Symetra products, workflow, and business context in order to anticipate future analytics opportunities. 10%%

✔ Follows engineering best practices and develops cross-functional partnerships. 10%%

Education Required

Degree in Computer Science, Engineering, Mathematics, or a related field and/or 2+ years of equivalent professional experience.

Skills and Abilities Required

Basic knowledge of SQL, dbt or other relevant programming experience.

Ability to understand and interpret imperfect data.

Experience with data modeling and working with large scale data.

Ability to drive requirements and solicit input and feedback from internal customers

Partner with Data Analytics team members and business stakeholders to develop solutions

Education/Experience/License/Training/Skills Preferred

ETL development and understanding of data warehousing concepts

Impact

Decisions have minimal impact to department or organization. Work product is spot checked/reviewed for quality by others. Accountable to department, little to no significant financial impact. Increasing latitude for independent judgment.

Job Complexity

Performs work of increasing complexity and scope within standardized parameters.

Skills And Knowledge

Advancing professional expertise. Possesses functional knowledge of profession, however is still acquiring higher level knowledge and skills for the role.

Reporting Structure

Generally works independently however, guidance is always available from management or senior level colleagues for atypical situations or problems. No supervisory responsibilities.

Contact with Others

Primarily will have cross functional contact with various internal teams including Actuarial, IT, and Analytics. May occasionally have contact with outside vendors.

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